Kontaktieren Sie uns

CarbonMatch

AI-Powered Environmental Data Matching for Product Carbon Footprints

Match Your Bill of Materials to Verified Emission Data

Upload Your BOM

Try it with a sample BOM (10 components)

arbonMatch software for automated emission factor matching and carbon footprint component management, displayed on a laptop screen.

CarbonMatch is an AI-driven environmental data matching tool, built upon a collaboration with the German Research Center for Artificial Intelligence (DFKI), that automatically connects your Bill of Materials (BOM) components to trusted lifecycle assessment (LCA) datasets like Ecoinvent – enabling fast, consistent, and auditable Product Carbon Footprint (PCF) calculations.

The Problem CarbonMatch Solves

Accurate PCF calculation requires reliable emissions data for every component.
While supplier PCFs are improving, many components still lack primary data.
As a result, sustainability teams must manually match BOM components to secondary LCA datasets
– a slow, inconsistent, and unscalable process.

Warning indicating challenges in manual PCF data matching
Manual dataset search requires significant effort per component

Warning indicating challenges in manual PCF data matching
Matching quality depends on individual expertise

Warning indicating challenges in manual PCF data matching
Results vary across teams and products

Warning indicating challenges in manual PCF data matching
Repeated work for identical components across BOMs

How CarbonMatch Works

  1. Upload Your BOM
    Upload your Bill of Materials (XLSX). CarbonMatch extracts component IDs, names, and -if available- descriptions and material data.

  2. AI Context Enrichment
    The AI builds a clear component understanding by combining your BOM data with automated web research (e.g. technical datasheets and specifications), generating a robust semantic component description.

  3. Environmental Data Matching
    CarbonMatch performs a AI-based similarity search across verified LCA databases such as Ecoinvent and returns up to 5 ranked dataset matches per component.

  4. Review, Confirm, or Rematch
    Review suggestions, compare alternatives, or add missing information. If needed, trigger a rematch using your additional input to improve accuracy.

  5. Reuse & Calculate
    Confirmed matches are stored in a reusable component library. Existing components are matched automatically in future BOMs, enabling fast, consistent PCF calculation and audit-ready reporting.

Core Features

AI-Driven Environmental Data Matching

Semantic matching beyond keywords for more accurate results

Confidence & Transparency Scores

Understand match quality at a glance

Reusable Match Library

No repeated matching work across products

Global & Regional Emission Factors

Choose the dataset that fits your supply chain geography

Dataset Detail Panels

Clear context for every match

Direct Source Links for Auditability

Trace back all matches to original environmental data

Who CarbonMatch Is For

Manufacturing & Consumer Goods

Scale carbon matching across complex assemblies.

Automotive & Mobility

Handle complex, multi-material component structures at scale.

Fashion & Textiles

Match fabrics, dyes, coatings, and trims to LCA datasets reliably.

Why Teams Choose CarbonMatch

  • Reduce environmental data matching from weeks to hours

  • Ensure consistent PCF methodology across all products

  • Build long-term matching knowledge within your organization

  • Create audit-ready, traceable PCF inputs

Ready to Automate Environmental Data Matching?

Upload your BOM and see AI-powered matching in action.

Book a Demo

Kontaktieren Sie uns